Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.14368
Cited By
v1
v2 (latest)
Byzantine-Resilient Non-Convex Stochastic Gradient Descent
International Conference on Learning Representations (ICLR), 2020
28 December 2020
Zeyuan Allen-Zhu
Faeze Ebrahimian
Haibin Zhang
Dan Alistarh
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Byzantine-Resilient Non-Convex Stochastic Gradient Descent"
50 / 52 papers shown
Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints
Tsuyoshi Okita
AI4CE
181
0
0
09 Oct 2025
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
Sena Ergisi
Luis Maßny
Rawad Bitar
AAML
FedML
153
1
0
11 Sep 2025
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
Kaoru Otsuka
Yuki Takezawa
Makoto Yamada
FedML
261
1
0
03 Sep 2025
Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
Yue Xia
Tayyebeh Jahani-Nezhad
Rawad Bitar
FedML
187
0
0
18 Aug 2025
Byzantine Failures Harm the Generalization of Robust Distributed Learning Algorithms More Than Data Poisoning
Thomas Boudou
B. L. Bars
Nirupam Gupta
A. Bellet
FedML
OOD
AAML
256
0
0
22 Jun 2025
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Maximilian Egger
Rawad Bitar
313
0
0
11 Jun 2025
ByzFL: Research Framework for Robust Federated Learning
Marc González
R. Guerraoui
Rafael Pinot
Geovani Rizk
John Stephan
François Taïani
FedML
203
1
0
30 May 2025
Bant: Byzantine Antidote via Trial Function and Trust Scores
Gleb Molodtsov
Daniil Medyakov
Sergey Skorik
Nikolas Khachaturov
Shahane Tigranyan
Vladimir Aletov
A. Avetisyan
Martin Takáč
Aleksandr Beznosikov
AAML
797
1
0
12 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
548
7
0
03 May 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
272
0
0
03 Feb 2025
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
Neural Information Processing Systems (NeurIPS), 2025
T. Dahan
Kfir Y. Levy
327
0
0
16 Jan 2025
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Youpeng Li
Xiang Wang
Fuxun Yu
Lichao Sun
Wenbin Zhang
Xuyu Wang
FedML
791
2
0
16 Oct 2024
A survey on secure decentralized optimization and learning
Changxin Liu
Nicola Bastianello
Wei Huo
Yang Shi
Karl H. Johansson
316
12
0
16 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Hong Liu
Liren Shan
Han Bao
Ronghui You
Yuhao Yi
Jiancheng Lv
FedML
528
0
0
09 Aug 2024
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
International Conference on Machine Learning (ICML), 2024
T. Dahan
Kfir Y. Levy
358
3
0
23 May 2024
Overcoming the Challenges of Batch Normalization in Federated Learning
R. Guerraoui
Rafael Pinot
Geovani Rizk
John Stephan
François Taiani
FedML
385
7
0
23 May 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Swetha Ganesh
Jiayu Chen
Gugan Thoppe
Vaneet Aggarwal
FedML
382
5
0
15 Mar 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
Youssef Allouah
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Geovani Rizk
S. Voitovych
FedML
323
16
0
20 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
443
5
0
19 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
International Conference on Machine Learning (ICML), 2024
Ron Dorfman
Naseem Yehya
Kfir Y. Levy
331
5
0
05 Feb 2024
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
Philip Jordan
Florian Grötschla
Flint Xiaofeng Fan
Roger Wattenhofer
FedML
219
7
0
07 Jan 2024
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
Yuhao Yi
R. You
Hong Liu
Changxin Liu
Yuan Wang
Jiancheng Lv
OOD
367
6
0
20 Dec 2023
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
Ahmad Rammal
Kaja Gruntkowska
Nikita Fedin
Eduard A. Gorbunov
Peter Richtárik
438
13
0
15 Oct 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Ankit Pratap Singh
Namrata Vaswani
496
1
0
25 Sep 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
Neural Information Processing Systems (NeurIPS), 2023
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Geovani Rizk
OOD
360
28
0
24 Sep 2023
SABLE: Secure And Byzantine robust LEarning
Antoine Choffrut
R. Guerraoui
Rafael Pinot
Renaud Sirdey
John Stephan
Martin Zuber
AAML
471
2
0
11 Sep 2023
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
Conference on Computer and Communications Security (CCS), 2023
Qi Li
Zhuotao Liu
Qi Li
Ke Xu
418
28
0
03 Sep 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
Konstantin Mishchenko
Rustem Islamov
Eduard A. Gorbunov
Samuel Horváth
FedML
304
13
0
29 May 2023
On the Optimal Batch Size for Byzantine-Robust Distributed Learning
Yi-Rui Yang
Chang-Wei Shi
Wu-Jun Li
FedML
AAML
311
1
0
23 May 2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning
Yi-Rui Yang
Kun Wang
Wulu Li
FedML
295
6
0
09 Mar 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
International Conference on Machine Learning (ICML), 2023
Yuchen Liu
Chen Chen
Lingjuan Lyu
Fangzhao Wu
Sai Wu
Gang Chen
345
26
0
13 Feb 2023
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
International Conference on Learning Representations (ICLR), 2023
Hamidreza Almasi
Harshit Mishra
Balajee Vamanan
Sathya Ravi
FedML
267
0
0
12 Feb 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
International Conference on Machine Learning (ICML), 2023
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
300
33
0
09 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Youssef Allouah
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
431
81
0
03 Feb 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent
Shashank Reddy Chirra
K. Nadimpalli
Shrisha Rao
206
0
0
16 Jan 2023
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hanlin Gu
Lixin Fan
Xingxing Tang
Qiang Yang
AAML
FedML
348
1
0
24 Nov 2022
Robust Collaborative Learning with Linear Gradient Overhead
International Conference on Machine Learning (ICML), 2022
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
John Stephan
FedML
249
24
0
22 Sep 2022
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks
Ali Ramezani-Kebrya
Iman Tabrizian
Fartash Faghri
P. Popovski
AAML
FedML
228
7
0
16 Jul 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning
IEEE International Conference on Computer Vision (ICCV), 2022
Zahra Ghodsi
Mojan Javaheripi
Nojan Sheybani
Xinqiao Zhang
Ke Huang
F. Koushanfar
FedML
483
27
0
24 Jun 2022
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
Eduard A. Gorbunov
Samuel Horváth
Peter Richtárik
Gauthier Gidel
AAML
375
0
0
01 Jun 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
International Conference on Machine Learning (ICML), 2022
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
320
93
0
24 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
Basel Alomair
Sai Li
FedML
438
42
0
24 May 2022
Byzantine-Robust Decentralized Learning via ClippedGossip
Lie He
Sai Praneeth Karimireddy
Martin Jaggi
FedML
293
38
0
03 Feb 2022
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
International Conference on Learning Representations (ICLR), 2022
Sachin Konan
Esmaeil Seraj
Matthew C. Gombolay
LRM
452
27
0
20 Jan 2022
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
Flint Xiaofeng Fan
Yining Ma
Zhongxiang Dai
Wei Jing
Cheston Tan
K. H. Low
FedML
AI4CE
260
93
0
26 Oct 2021
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
Jian Xu
Shao-Lun Huang
Linqi Song
Tian-Shing Lan
FedML
AAML
233
82
0
13 Sep 2021
Efficient Byzantine-Resilient Stochastic Gradient Desce
Kaiyun Li
Xiaojun Chen
Ye Dong
Peng Zhang
Dakui Wang
Shuai Zeng
189
0
0
15 Aug 2021
Secure Distributed Training at Scale
International Conference on Machine Learning (ICML), 2021
Eduard A. Gorbunov
Alexander Borzunov
Michael Diskin
Max Ryabinin
FedML
465
18
0
21 Jun 2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
Signal Processing (Signal Process.), 2021
Feng-Shih Lin
Weiyu Li
Qing Ling
FedML
389
6
0
13 Jun 2021
Learning from History for Byzantine Robust Optimization
International Conference on Machine Learning (ICML), 2020
Sai Praneeth Karimireddy
Lie He
Martin Jaggi
FedML
AAML
542
243
0
18 Dec 2020
1
2
Next
Page 1 of 2
